Guidance methods

[francois-rozet]

Description

This issue tracks the guidance methods that have been requested and/or implemented in azula.guidance. You are welcome to request new guidance methods. If you wish to contribute to Azula, this list is a good place to start.

List of requested guidance methods

• Denoising Diffusion Restoration Model (DDRM) by Kawar et al. (2022)
• Denoising Diffusion Null-space Model (DDNM) by Wang et al. (2023)
• Diffusion Models for Plug-and-Play Image Restoration (DiffPIR) by Zhu et al. (2023)
• Diffusion Posterior Sampling (DPS) by Chung et al. (2023)
• Pseudoinverse-Guided Diffusion Model (PGDM) by Song et al. (2023)
• Tweedie Moment Projected Diffusion (TMPD) by Boys et al. (2023)
• Twisted Diffusions Sampling (TDS) by Wu et al. (2023)
• Moment Matching Posterior Sampling (MMPS) by Rozet et al. (2024)
• Universal Guidance for Diffusion Model (UGDM) by Bansal et al. (2023)
• Manifold Preserving Guided Diffusion (MPGD) by He et al. (2024)
• Posterior Sampling with Latent Diffusion (PSLD) by Rout et al. (2023)
• Second-order Tweedie sampler from Surrogate Loss (STSL) by Rout et al. (2024)